DocumentCode
3252721
Title
Towards higher accuracy and better noise-tolerance for fetal heart rate monitoring using Doppler ultrasound
Author
Lee, Chang Su ; Masek, Martin ; Lam, Chiou Peng ; Tan, Keng T.
Author_Institution
Sch. of Comput. & Security Sci., Edith Cowan Univ., Perth, WA, Australia
fYear
2009
fDate
23-26 Jan. 2009
Firstpage
1
Lastpage
6
Abstract
Doppler ultrasound monitors are commonly used to measure the fetal heart rate (FHR) in routine screenings. They are less intrusive than fetal electrocardiography (FECG), but are more prone to noise and thus seen as less accurate devices. Recent developments resulted in beat-to-beat heart rate algorithms for Doppler shift monitors that claimed to approach the accuracy of that obtained from direct FECG. We evaluate one such algorithm, along with a noise tolerant improvement using a mixture of synthetic and real fetal heart data in order to quantify their accuracy and robustness in the presence of the typical noise in signals from an ultrasound probe. The findings showed that our proposed approach achieved higher accuracy and better robustness compared to the beat-to-beat fetal heart detection approach.
Keywords
Doppler measurement; acoustic signal processing; biomedical ultrasonics; electrocardiography; medical signal processing; obstetrics; pneumodynamics; Doppler shift monitors; Doppler ultrasound; beat-to-beat heart rate algorithms; fetal electrocardiography; fetal heart rate monitoring; noise tolerant improvement; noise-tolerance; signal noise; ultrasound probe; Doppler shift; Electrocardiography; Fetal heart; Fetal heart rate; Heart rate; Heart rate measurement; Noise robustness; Probes; Ultrasonic imaging; Ultrasonic variables measurement; Doppler ultrasound; Fetal heart rate; beat-to-beat accuracy;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2009 - 2009 IEEE Region 10 Conference
Conference_Location
Singapore
Print_ISBN
978-1-4244-4546-2
Electronic_ISBN
978-1-4244-4547-9
Type
conf
DOI
10.1109/TENCON.2009.5395885
Filename
5395885
Link To Document